Proceedings of the First International Conference Economic and Business Management 2016

How to Assess the Sustainable Growth of Non-listed SMEs: Based on Factor Analysis Model

Authors
Jingxian Liu, Yingyu Wu
Corresponding Author
Jingxian Liu
Available Online November 2016.
DOI
10.2991/febm-16.2016.24How to use a DOI?
Keywords
sustainable growth rate; factor analysis; communication-equipment manufacturing non-listed company; operation performance; empirical analysis; SMEs
Abstract

Factor analysis model is utilized to find out the key determinants of sustainable development of non-listed companies in the manufacture of communication equipment industry.21 determinants from 4 dimensions in the performance comprehensive assessment system are chosen and 7 determinants are put forward asÿPrincipal Component indicators in the result of Principal Component Analysis. The result shows profitability management, efficiency of using assets and sales capacity play pivotal role to unlisted SMEs.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference Economic and Business Management 2016
Series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
10.2991/febm-16.2016.24
ISSN
2352-5428
DOI
10.2991/febm-16.2016.24How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jingxian Liu
AU  - Yingyu Wu
PY  - 2016/11
DA  - 2016/11
TI  - How to Assess the Sustainable Growth of Non-listed SMEs: Based on Factor Analysis Model
BT  - Proceedings of the First International Conference Economic and Business Management 2016
PB  - Atlantis Press
SP  - 155
EP  - 160
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-16.2016.24
DO  - 10.2991/febm-16.2016.24
ID  - Liu2016/11
ER  -